Correlation Between Flux Power and Atkore International
Can any of the company-specific risk be diversified away by investing in both Flux Power and Atkore International at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Flux Power and Atkore International into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Flux Power Holdings and Atkore International Group, you can compare the effects of market volatilities on Flux Power and Atkore International and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Flux Power with a short position of Atkore International. Check out your portfolio center. Please also check ongoing floating volatility patterns of Flux Power and Atkore International.
Diversification Opportunities for Flux Power and Atkore International
0.46 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Flux and Atkore is 0.46. Overlapping area represents the amount of risk that can be diversified away by holding Flux Power Holdings and Atkore International Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Atkore International and Flux Power is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Flux Power Holdings are associated (or correlated) with Atkore International. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Atkore International has no effect on the direction of Flux Power i.e., Flux Power and Atkore International go up and down completely randomly.
Pair Corralation between Flux Power and Atkore International
Given the investment horizon of 90 days Flux Power Holdings is expected to generate 1.99 times more return on investment than Atkore International. However, Flux Power is 1.99 times more volatile than Atkore International Group. It trades about 0.08 of its potential returns per unit of risk. Atkore International Group is currently generating about -0.11 per unit of risk. If you would invest 168.00 in Flux Power Holdings on December 28, 2024 and sell it today you would earn a total of 35.00 from holding Flux Power Holdings or generate 20.83% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Flux Power Holdings vs. Atkore International Group
Performance |
Timeline |
Flux Power Holdings |
Atkore International |
Flux Power and Atkore International Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Flux Power and Atkore International
The main advantage of trading using opposite Flux Power and Atkore International positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Flux Power position performs unexpectedly, Atkore International can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Atkore International will offset losses from the drop in Atkore International's long position.Flux Power vs. Espey Mfg Electronics | Flux Power vs. NeoVolta Warrant | Flux Power vs. Kimball Electronics | Flux Power vs. Hayward Holdings |
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Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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